Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

£89.50

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

Optimization Automatic control engineering Communications engineering / telecommunications Network hardware Artificial intelligence

Authors: Limin Wang, Ridong Zhang, Furong Gao

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Language: English

Published by: Springer

Published on: 18th March 2019

Format: LCP-protected ePub

Size: 31 Mb

ISBN: 9789811357909


Book Overview

This book is based on the authors’ research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering. It introduces iterative learning control for linear/nonlinear single/multi-phase batch processes; iterative learning optimal guaranteed cost control; delay-dependent iterative learning control; and iterative learning fault-tolerant control for linear/nonlinear single/multi-phase batch processes.

Providing important insights and useful methods and practical algorithms that can potentially be applied in batch process control and optimization, it is a valuable resource for researchers, scientists, and engineers in the field of process system engineering and control engineering.

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